App features
Elbow method
One challenge in clustering problems is determining the number (k) of clusters that the algorithm will "discover". However, the user may not advance the specific number, and if the algorithm is run with a different value of k, completely different clusters will be discovered. One way to specify the parameter value is the Elbow method.
Cluster assignment
Clustering analysis involves partitioning n data points into k clusters, where each data point is assigned to the cluster with the nearest mean. This method enhances data organization, helping to uncover patterns and relationships within the dataset.
| # | Gender | Age | Income | Cluster |
|---|---|---|---|---|
| 1 | Male | 48 | 1000 | 2 |
| 2 | Male | 33 | 1500 | 3 |
| 3 | Female | 29 | 2000 | 3 |
| 4 | Male | 52 | 3500 | 1 |
| 5 | Female | 41 | 2200 | 2 |
| 6 | Female | 39 | 1800 | 2 |